Do one-sided consumer agents actually change market structure?
Explores whether agents representing only buyers can fundamentally reshape markets or merely help consumers navigate existing ones. Matters because it determines whether current AI shopping tools represent genuine market evolution or incremental improvement.
Choudary argues that consumer-side agents like Muse and Instinct are not, by themselves, the "natural endpoint of the agent economy." He distinguishes "a new locus of aggregation" from "a new mechanism of coordination": the former "changes where the consumer enters the market," the latter "can change the very structure of the market." Today, he writes, "we have agentic participants but don't have agentic markets yet," because "most agents today represent only one actor in that relationship," producing "a lopsided agent economy" where "intelligence is accumulating on one side of many market relationships without an equivalent change in how the other side participates."
The mechanism he gives runs through paired examples. A traveller's agent can know she will leave a day earlier for a nonstop itinerary or "will spend more if a disruption can be handled flexibly," but "if airlines and hotels remain represented only by published fares, room categories and availability feeds," the agent "can optimize among pre-existing offers" but "cannot negotiate with the supplier to reconsider what they are willing to offer." Give the airline an agent too, Choudary writes, and it "could reason over inventory, yield targets, loyalty status... and respond with alternate offers," so "the transaction is no longer produced by a buyer agent choosing from a catalogue" but "through mutual negotiation between represented parties." He runs the same logic for procurement agents against suppliers' "catalogues, price lists and responses to predefined RFQs," and cites Indeed's Apply For Me (job-seeker side) and Sourcing Assistant (employer side) as a live case where representing both sides turns hiring from matching "two static documents" into "interaction between two sets of objectives and constraints" — noting Indeed "temporarily paused the automatic application mode of Apply For Me after employer feedback."
This sets up a precondition for Does model capability determine who wins in agent negotiations?: that paper's benchmark already assumes both buyer and seller are agentic and measures what happens once they are, while Choudary's claim is that most real markets haven't reached that state yet — his "lopsided agent economy" is the condition the benchmark's two-sided setup presupposes away. It also sharpens Why do consumers delay adopting agentic search?: both describe one-sided agentic search as still operating inside an unchanged market structure, which is what Choudary means by an agent improving "navigation of the existing market" rather than remaking it. It bears on Can AI seller agents shift buyer preferences through description edits? as an early instance of the seller side beginning to respond in kind, though tweaking a description to an AI reader is a thinner form of representation than the negotiating seller-side agent Choudary describes.
The excerpt is the first part of a series ("More on that follows") and offers no data, benchmark, or named market where two-sided agentic representation has actually occurred — the airline, procurement, and travel scenarios are illustrative, not observed. It does not establish how fast sellers, suppliers, or employers will build matching agents, or what happens to price and surplus once they do; it only argues that without that symmetry, agent adoption is reshaping access to markets rather than the markets themselves, which implies that claims of agents disrupting commerce should be read skeptically wherever only the buyer side has an agent.
Inquiring lines that read this note 38
This note is a source for these research framings, grouped by the broader line of inquiry each explores. Scan the bold lines of inquiry; follow any specific question forward.
How can merchant-funded agents remain loyal to consumer interests in digital commerce?- Does infrastructure control over fares shift market power away from airlines?
- How do advisory agents differ from transactional agents in shopping?
- Can retailers use off-site agents to compete without losing customer loyalty?
- What happens to traditional retailer-shopper relationships as third-party agents grow?
- Which actors currently control the largest shopping agent platforms?
- How do ownership structures shape whether agents favor sellers or buyers?
- How does travel commerce become the first proving ground for agents?
- How do merchants win selection when agents control the purchase decision?
- Can brands survive if they are not the agent of choice to consumers?
- How do agent business models create conflicts between merchant and consumer loyalty?
- Can merchants win agent-mediated purchasing decisions without controlling the agent itself?
- Can a single platform loyally serve both competing merchants and individual consumers?
- Which markets have intermediaries that agents could most easily replace first?
- Would banning agent advertising actually change behavior or just revenue labels?
- Can price discrimination bans work without restructuring how agents are financed?
- What are the real costs of consumer-owned shopping agents?
- Can EU consumer law adapt to agents acting as algorithmic buyers?
- Why might retailers prefer closed agentic systems over open ones?
- Can smaller merchants compete if agentic commerce becomes platform-specific?
- Why might agentic markets underperform compared to traditional consumer search markets?
- Should consumer protection law differ when AI agents make purchasing decisions instead of humans?
- Can brands compete effectively if agents become the primary consumer decision layer?
- Why do shopping agents shift buyer choices more than humans at equal prices?
- Which retail categories are most vulnerable to agent-driven basket fragmentation?
- Does mixing agent types reduce unexplored product alternatives in markets?
- How can brands become the agent's default choice instead of competing for attention?
- Do AI shopping agents change behavior based on how scenarios are framed?
- What happens to market entry and product variety when generation costs drop?
- Can seller agents responding to AI shoppers actually shift market share between competitors?
- Do AI shopping agents already shift their recommendations based on seller description edits?
- How does shifting preference articulation costs reshape search market collapse?
- Can seller description tweaks significantly shift market share in AI shopping agents?
- Can sellers significantly shift market share through description manipulation alone?
- Does bilateral agent commerce expand the discoverable frame more than unilateral agent search?
- Can de facto protocols prevent market re-concentration after initial adoption?
- How does pre-commitment power reshape what algorithms can achieve in two-sided markets?
- How do AI agent markets differ structurally from human markets in repeated play?
- Can a single AI agent act as a market maker in multi-party negotiation?
Related concepts in this collection 6
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Does model capability determine who wins in agent negotiations?
When LLM agents negotiate prices with each other, does raw model capability consistently predict better deal outcomes, or do negotiation strategies matter more? This matters because it could reveal a new form of economic disparity if agentic commerce scales.
that benchmark's two-sided setup is the state Choudary says most markets haven't reached yet
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Why do consumers delay adopting agentic search?
Platforms benefit from agentic search before consumers do privately. This note explores whether rational cost-minimization—weighing time spent on search itself—explains adoption delays beyond simple distrust of AI.
both describe one-sided agentic search as navigation within an unchanged market structure
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Can AI seller agents shift buyer preferences through description edits?
This research tests whether seller-side AI agents can strategically manipulate product descriptions to influence AI shopping agents' purchasing decisions. The question matters because it reveals whether autonomous agents are vulnerable to the same optimization pressures that shaped human-facing digital markets.
an early, thinner form of the seller-side response Choudary says full agentic markets would require
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Will brands succeed by building their own AI shopping agents?
Explores whether brands can compete by creating proprietary AI agents that mediate consumer purchases, or whether structural conflicts of interest and missing ecosystem conditions will undermine this strategy.
a vendor framing of the same asymmetry, pushed from the seller's side of the relationship
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Can agent negotiation unlock deals that seemed economically impossible?
Does bilateral agent representation expand the set of viable transactions by reducing discovery and agreement costs? The question matters because it suggests AI agents might enable fundamentally new business combinations, not just optimize existing ones.
Extends Choudary's claim: two-sided agent negotiation can construct wholly new transactions, not just negotiate existing ones better
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Do LLM agents achieve fair marketplace outcomes when given ideal search?
Testing whether frontier language models can reach economically optimal welfare in two-sided marketplaces, and what conditions enable or prevent this outcome.
Qualifies Choudary's two-sided vision: tested agent marketplaces show speed-biased, suboptimal outcomes even with both sides represented
Related papers in this collection 8
Papers most semantically related to this note, ranked by cosine similarity in the embedding space.
- Agents - and their better half: Part 1 - From agentic participants to agentic markets
- Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
- LLM-Agent Interactions on Markets with Information Asymmetries
- What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce
- Vertical tacit collusion in AI-mediated markets
- The Coasean Singularity? Demand, Supply, and Market Design with AI Agents
- Shopping by algorithm: How agentic AI deploys human heuristics as a surrogate consumer
- An Economy of AI Agents
Original note title
Choudary argues agentic markets require both sides represented — one-sided consumer agents only improve navigation of existing markets